Name
Abstract | ||
|---|---|---|
Local Binary Pattern (LBP) represents a circular derivative pattern generated by the concatenation of the binary gradient directions. However, the pattern fails to extract more detailed information such as texture feature contained in the input object. In this paper, we propose a texture classification based low order LBP for face recognition. With the texture feature, we could apply this method only on eye regions rather than whole face image to reduce the computation complexity and recognition time. The experiment result shows the face recognition rate of our approach is better than the original LBP method and the average executing time ratio of proposed method to original LBP method is only 16.3% |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6116298 | 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) |
Keywords | Field | DocType |
Face recognition, local descriptor, local binary pattern(LBP) | Facial recognition system,Histogram,Computer vision,Pattern recognition,Computer science,Image texture,Local binary patterns,Feature extraction,Concatenation,Artificial intelligence,Contextual image classification,Computational complexity theory | Conference |
ISSN | Citations | PageRank |
1522-4880 | 1 | 0.37 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ching-Te Chiu | 1 | 304 | 38.60 |
| Cyuan-Jhe Wu | 2 | 10 | 0.94 |